The interior point method is an advanced optimization technique
pioneered as a built-in feature in general technical computing by
Wolfram Research.

In general, the inclusion of state-of-the art
advanced solvers, coupled with Mathematica's packed-array
technology and automatic algorithm selection, lets users tackle much
larger problems than with other packages--efficiently and with more
accurate results.

The interior point method is often the most efficient for optimization.